Results 1 to 10 of about 3,495,066 (309)
Multivariate Regression Forest for Categorical Attribute Data [PDF]
Jisuanji kexue, 2022 As categorical attributes cannot be utilized directly in some regression models like the linear regression,SVR and most multivariate regression trees,a multivariate split method dealing with multiple types of data is prompted in this paper.We define the ...
LIU Zhen-yu, SONG Xiao-ying
doaj +1 more source
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2021 Population poverty is one of the serious problems in Indonesia. The percentage of population poverty used as a means for a statistical instrument to be guidelines to create standard policies and evaluations to reduce poverty. The aims of the research are
Ria Dhea Layla Nur Karisma +2 more
doaj +1 more source
PLoS ONE, 2023 Wind turbine power curve (WTPC) serves as an important tool for wind turbine condition monitoring and wind power forecasting. Due to complex environmental factors and technical issues of the wind turbines, there are many outliers and inconsistencies ...
Khurram Mushtaq +6 more
doaj +1 more source
Multivariate or Multivariable Regression? [PDF]
American Journal of Public Health, 2013 The terms multivariate and multivariable are often used interchangeably in the public health literature. However, these terms actually represent 2 very distinct types of analyses. We define the 2 types of analysis and assess the prevalence of use of the statistical term multivariate in a 1-year span of articles published in the American Journal of ...
Bertha, Hidalgo, Melody, Goodman
openaire +2 more sources
Multivariate Regression Depth [PDF]
Discrete & Computational Geometry, 2000 The regression depth of a hyperplane with respect to a set of n points in R^d is the minimum number of points the hyperplane must pass through in a rotation to vertical. We generalize hyperplane regression depth to k-flats for any k between 0 and d-1. The k=0 case gives the classical notion of center points.
Marshall W. Bern, David Eppstein
openaire +6 more sources
Relationship Between Geomorphic Factors and Parameters with Sediment in Rostamabad Watershed of Ilam Province [PDF]
پژوهشهای آبخیزداری, 2022 Analysis of statistical relationships and quantitative factors and parameters affecting the production of sediment and soil loss is one of the problems of the watershed.
Shamsollah Asgari +2 more
doaj +1 more source
Sparse multivariate factor regression [PDF]
2016 IEEE Statistical Signal Processing Workshop (SSP), 2016 We consider the problem of multivariate regression in a setting where the relevant predictors could be shared among different responses. We propose an algorithm which decomposes the coefficient matrix into the product of a long matrix and a wide matrix, with an elastic net penalty on the former and an $\ell_1$ penalty on the latter.
Milad Kharratzadeh, Mark Coates
openaire +2 more sources
RegBoost: a gradient boosted multivariate regression algorithm
International Journal of Crowd Science, 2020 PurposeInspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.Design/methodology/approachTo achieve nonlinearity ...
Wen Li, Wei Wang, Wenjun Huo
doaj +1 more source
Variable selection in multivariate multiple regression.
PLoS ONE, 2020 IntroductionIn many practical situations, we are interested in the effect of covariates on correlated multiple responses. In this paper, we focus on estimation and variable selection in multi-response multiple regression models.
Asokan Mulayath Variyath, Anita Brobbey
doaj +1 more source
ANALISIS KINERJA KARYAWAN MENGGUNAKAN MULTIVARIATE ADAPTIVE REGRESSION SPLINES
Jurnal Matematika UNAND, 2020 Kinerja karyawan merupakan indikator keberhasilan seseorang secara keseluruhan selama periode tertentu dalam melaksanakan tugas yang diberikan dibandingkan dengan standar hasil kerja yang telah ditentukan dan disepakati bersama.
ARNEZDA PUTRI +2 more
doaj +1 more source